<RandomizedSearchCV> Pass the estimator obtained after fitting to scoring function as a parameter

Suppose I want to do a RandomizedSearchCV with custom both estimator and scorer :

random_search = RandomizedSearchCV(cxCustomLogReg(), search_space,
                                   n_iter=50, scoring=scorer) 

May it be possible to pass the estimator obtained after fitting cxCustomLogReg() to scorer function as a parameter?

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